How to use pickle_tags method of Gherkin.Pickles Package

Best Gherkin-ruby code snippet using Gherkin.Pickles.pickle_tags

compiler.rb

Source:compiler.rb Github

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...26 scenario[:steps].each do |step|27 steps.push(pickle_step(step))28 end29 pickle = {30 tags: pickle_tags(tags),31 name: scenario[:name],32 language: language,33 locations: [pickle_location(scenario[:location])],34 steps: steps35 }36 pickles.push(pickle)37 end38 def compile_scenario_outline(feature_tags, background_steps, scenario_outline, language, pickles)39 return if scenario_outline[:steps].empty?40 scenario_outline[:examples].reject { |examples| examples[:tableHeader].nil? }.each do |examples|41 variable_cells = examples[:tableHeader][:cells]42 examples[:tableBody].each do |values|43 value_cells = values[:cells]44 steps = [].concat(background_steps)45 tags = [].concat(feature_tags).concat(scenario_outline[:tags]).concat(examples[:tags])46 scenario_outline[:steps].each do |scenario_outline_step|47 step_text = interpolate(scenario_outline_step[:text], variable_cells, value_cells);48 arguments = create_pickle_arguments(scenario_outline_step[:argument], variable_cells, value_cells)49 pickle_step = {50 text: step_text,51 arguments: arguments,52 locations: [53 pickle_location(values[:location]),54 pickle_step_location(scenario_outline_step)55 ]56 }57 steps.push(pickle_step)58 end59 pickle = {60 name: interpolate(scenario_outline[:name], variable_cells, value_cells),61 language: language,62 steps: steps,63 tags: pickle_tags(tags),64 locations: [65 pickle_location(values[:location]),66 pickle_location(scenario_outline[:location])67 ]68 }69 pickles.push(pickle);70 end71 end72 end73 def create_pickle_arguments(argument, variable_cells, value_cells)74 result = []75 return result if argument.nil?76 if (argument[:type] == :DataTable)77 table = {78 rows: argument[:rows].map do |row|79 {80 cells: row[:cells].map do |cell|81 {82 location: pickle_location(cell[:location]),83 value: interpolate(cell[:value], variable_cells, value_cells)84 }85 end86 }87 end88 }89 result.push(table)90 elsif (argument[:type] == :DocString)91 doc_string = {92 location: pickle_location(argument[:location]),93 content: interpolate(argument[:content], variable_cells, value_cells)94 }95 result.push(doc_string)96 else97 raise 'Internal error'98 end99 result100 end101 def interpolate(name, variable_cells, value_cells)102 variable_cells.each_with_index do |variable_cell, n|103 value_cell = value_cells[n]104 name = name.gsub('<' + variable_cell[:value] + '>', value_cell[:value])105 end106 name107 end108 def pickle_steps(scenario_definition)109 scenario_definition[:steps].map do |step|110 pickle_step(step)111 end112 end113 def pickle_step(step)114 {115 text: step[:text],116 arguments: create_pickle_arguments(step[:argument], [], []),117 locations: [pickle_step_location(step)]118 }119 end120 def pickle_step_location(step)121 {122 line: step[:location][:line],123 column: step[:location][:column] + (step[:keyword] ? step[:keyword].length : 0)124 }125 end126 def pickle_location(location)127 {128 line: location[:line],129 column: location[:column]130 }131 end132 def pickle_tags(tags)133 tags.map {|tag| pickle_tag(tag)}134 end135 def pickle_tag(tag)136 {137 name: tag[:name],138 location: pickle_location(tag[:location])139 }140 end141 end142 end143end...

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pickle_tags

Using AI Code Generation

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1 def self.pickle_tags(pickle, tag_expressions)2 pickle_tags = pickle['tags'].map {|tag| tag['name'] }3 tag_expressions.map {|tag_expression| tag_expression.evaluate(pickle_tags) }4 def self.pickle_tags(pickle, tag_expressions)5 pickle_tags = pickle['tags'].map {|tag| tag['name'] }6 tag_expressions.map {|tag_expression| tag_expression.evaluate(pickle_tags) }7 def self.pickle_tags(pickle, tag_expressions)8 pickle_tags = pickle['tags'].map {|tag| tag['name'] }9 tag_expressions.map {|tag_expression| tag_expression.evaluate(pickle_tags) }10def self.pickle_tags(pickle, tag_expressions)11 pickle_tags = pickle['tags'].map {|tag| tag['name'] }12 tag_expressions.map {|tag_expression| tag_expression.evaluate(pickle_tags) }13def pickle_tags(pickle, tag_expressions)14 pickle_tags = pickle['tags'].map {|tag| tag['name'] }15 tag_expressions.map {|tag_expression| tag_expression.evaluate(pickle_tags) }16def pickle_tags(pickle, tag_expressions)17 pickle_tags = pickle['tags'].map {|tag| tag['name'] }18 tag_expressions.map {|tag_expression| tag_expression.evaluate(pickle_tags) }

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pickle_tags

Using AI Code Generation

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1source = File.read('1.feature')2pickles.pickle_tags(source) do |pickle|3source = File.read('2.feature')4pickles.pickle_tags(source) do |pickle|5source = File.read('3.feature')6pickles.pickle_tags(source) do |pickle|7source = File.read('4.feature')8pickles.pickle_tags(source) do |pickle|

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pickle_tags

Using AI Code Generation

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1 gherkin_document = Gherkin::Parser.new.parse(source)2 @compiler.compile(gherkin_document)3 pickle[:tags].map { |tag| tag[:name] }4 pickle[:locations].map { |location| location[:column] }5 pickle[:steps].map { |step| step[:text] }6 pickle[:steps].map { |step| step[:locations] }7 pickle[:steps].map { |step| step[:argument] }8 pickle[:steps].map { |step| step[:argument][:locations] }9 pickle[:steps].map { |step| step[:argument][:rows] }10 pickle[:steps].map { |step| step[:argument][:rows][:locations] }11 pickle[:steps].map { |step| step[:argument][:rows][:cells] }12 pickle[:steps].map { |step| step[:argument][:rows][:cells][:locations] }13 pickle[:steps].map { |step| step[:argument][:rows][:cells][:value] }14 pickle[:steps].map { |step| step[:argument][:doc_string] }15 pickle[:steps].map { |step| step[:argument][:doc_string][:locations] }16 pickle[:steps].map { |step| step[:argument

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pickle_tags

Using AI Code Generation

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1file = File.open('path_to_file_containing_gherkin', 'r')2parser.parse(gherkin, 'path_to_file_containing_gherkin', 0)3pickles = pickles.pickle_tags(ast)

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